Package: DisaggregateTS 3.0.0

Kaveh Salehzadeh Nobari

DisaggregateTS: High-Dimensional Temporal Disaggregation

Provides tools for temporal disaggregation, including: (1) High-dimensional and low-dimensional series generation for simulation studies; (2) A toolkit for temporal disaggregation and benchmarking using low-dimensional indicator series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.

Authors:Kaveh Salehzadeh Nobari [aut, cre], Luke Mosley [aut]

DisaggregateTS_3.0.0.tar.gz
DisaggregateTS_3.0.0.tar.gz(r-4.5-noble)DisaggregateTS_3.0.0.tar.gz(r-4.4-noble)
DisaggregateTS_3.0.0.tgz(r-4.4-emscripten)DisaggregateTS_3.0.0.tgz(r-4.3-emscripten)
DisaggregateTS.pdf |DisaggregateTS.html
DisaggregateTS/json (API)

# Install 'DisaggregateTS' in R:
install.packages('DisaggregateTS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • combined_data - GHG Emissions and Financial Data for IBM, Caterpillar, and Walmart

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 131 downloads 3 exports 7 dependencies

Last updated 2 days agofrom:d279c05634. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-linuxOKOct 30 2024

Exports:disaggregatesimulDiagnosisTempDisaggDGP

Dependencies:larslatticeMatrixrbibutilsRdpackwithrzoo

Temporal Disaggregation of IBM's GHG Emissions

Rendered fromHigh_Dimensional_Temporal_Disaggregation.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-10-29
Started: 2024-10-29